{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# DeepDrug3D" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Create pocket lists\n", "4 pockets are created :\n", " + control\n", " + steroid\n", " + heme\n", " + nucleotide" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "with open(\"control.list\", \"r\") as filin:\n", " control = filin.read()\n", "control = control.split(\"\\n\")\n", "control.pop()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "with open(\"steroid.list\", \"r\") as filin:\n", " steroid = filin.read()\n", "steroid = steroid.split(\"\\n\")\n", "steroid.pop()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "with open(\"heme.list\", \"r\") as filin:\n", " heme = filin.read()\n", "heme = heme.split(\"\\n\")\n", "heme.pop()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "with open(\"nucleotide.list\", \"r\") as filin:\n", " nucleotide = filin.read()\n", "nucleotide = nucleotide.split(\"\\n\")\n", "nucleotide.pop()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 4 }